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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianguo Wang Guoyan Meng Xiaolong Zheng |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput., Shanxi Xinzhou Teachers Univ., Xinzhou (Jianguo Wang; Guoyan Meng) || Dept of Electron. Eng., Beijing Inst. of Technol., Beijing (Xiaolong Zheng) |
| Abstract | Rough set theory introduced by Z..Pawlak in the early 1980s is a mathematical tool of reasoning about data. In recent years it has received much attention of the researchers around the world. Rough set theory has been successfully applied to many areas including machine learning, pattern recognition, decision analysis, process control, knowledge discovery from databases. An algorithm in finding minimal reduction based on Prepositional Satisfiability (abbreviated as SAT) algorithm is proposed. A branch and bound algorithm is presented to solve the proposed SAT problem. The experimental result shows that the proposed algorithm has significantly reduced the number of rules generated form the obtained reduction with high percentage of classification accuracy. |
| Starting Page | 98 |
| Ending Page | 102 |
| File Size | 363163 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769534978 |
| DOI | 10.1109/IITA.2008.284 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Machine learning algorithms Data analysis Databases Space technology Decision making Rough sets Set theory Pattern recognition Pattern analysis Information systems |
| Content Type | Text |
| Resource Type | Article |
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